Guest Editorial: Coastal Aquatic Remote Sensing Applications for Environmental Monitoring and Management

Stuart Phinn

doi:10.1117/1.2835115

Guest Editorial: Coastal Aquatic Remote Sensing Applications for Environmental Monitoring and Management

Journal of Applied Remote Sensing ◽

10.1117/1.2835115 ◽

2007 ◽

Vol 1 (1) ◽

pp. 011599 ◽

Cited By ~ 1

Author(s):

Stuart Phinn

Keyword(s):

Remote Sensing ◽

Environmental Monitoring ◽

Guest Editorial ◽

Sensing Applications ◽

Remote Sensing Applications ◽

Aquatic Remote Sensing

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Remote Sensing Applications to Environmental Monitoring of the Coastal Zone

Remote Sensing and Global Climate Change ◽

10.1007/978-3-642-79287-8_21 ◽

1994 ◽

pp. 429-438

Author(s):

Mohd. Ibrahim Hj. Mohamed

Keyword(s):

Remote Sensing ◽

Environmental Monitoring ◽

Coastal Zone ◽

Sensing Applications ◽

Remote Sensing Applications

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Special Section Guest Editorial: Feature and Deep Learning in Remote Sensing Applications

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.042601 ◽

2018 ◽

Vol 11 (04) ◽

pp. 1 ◽

Cited By ~ 6

Author(s):

John E. Ball ◽

Derek T. Anderson ◽

Chee Seng Chan

Keyword(s):

Remote Sensing ◽

Deep Learning ◽

Guest Editorial ◽

Special Section ◽

Sensing Applications ◽

Remote Sensing Applications

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Special Section Guest Editorial: Advances in Remote Sensing Applications for Locust Habitat Monitoring and Management

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.8.084801 ◽

2015 ◽

Vol 8 (1) ◽

pp. 084801

Author(s):

Ramesh Sivanpillai ◽

Alexandre V. Latchininsky

Keyword(s):

Remote Sensing ◽

Guest Editorial ◽

Special Section ◽

Habitat Monitoring ◽

Sensing Applications ◽

Remote Sensing Applications

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Efficient Speckle Noise Reduction Techniques for Synthetic Aperture Radars in Remote Sensing Applications

International Review of Aerospace Engineering (IREASE) ◽

10.15866/irease.v9i4.10367 ◽

2016 ◽

Vol 9 (4) ◽

pp. 114

Author(s):

M. L. M. Lakshmi ◽

S. V. A. V. Prasad ◽

Mohammad Zia Ur Rahman

Keyword(s):

Remote Sensing ◽

Noise Reduction ◽

Speckle Noise ◽

Synthetic Aperture ◽

Reduction Techniques ◽

Sensing Applications ◽

Remote Sensing Applications ◽

Synthetic Aperture Radars ◽

Speckle Noise Reduction

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A selected bibliography: Remote sensing applications in agriculture

10.3133/70158695 ◽

1977 ◽

Keyword(s):

Remote Sensing ◽

Sensing Applications ◽

Remote Sensing Applications

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UAV & satellite synergies for optical remote sensing applications: A literature review

Science of Remote Sensing ◽

10.1016/j.srs.2021.100019 ◽

2021 ◽

Vol 3 ◽

pp. 100019

Author(s):

Alvarez-Vanhard Emilien ◽

Corpetti Thomas ◽

Houet Thomas

Keyword(s):

Remote Sensing ◽

Literature Review ◽

Optical Remote Sensing ◽

Sensing Applications ◽

Remote Sensing Applications

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A survey on Electromagnetic Radiation based Remote Sensing Applications to Agriculture

2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) ◽

10.1109/iciss49785.2020.9316095 ◽

2020 ◽

Author(s):

Radhesyam Vaddi ◽

M. Ashok kumar ◽

L.N.P Boggavarapu

Keyword(s):

Remote Sensing ◽

Electromagnetic Radiation ◽

Sensing Applications ◽

Remote Sensing Applications

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24.O.02 Characterisation of aerosols of polluants for remote sensing applications

Journal of Aerosol Science ◽

10.1016/0021-8502(94)90401-4 ◽

1994 ◽

Vol 25 ◽

pp. 343-344

Author(s):

Ph. Adam

Keyword(s):

Remote Sensing ◽

Sensing Applications ◽

Remote Sensing Applications

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RADARSAT-2; are its technical capabilities expected to provide potential for remote sensing applications ?

IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2002.1026151 ◽

2003 ◽

Author(s):

J.J. van der Sanden ◽

P. Budkewitsch ◽

D.G. Flett ◽

A.L. Gray ◽

R.K. Hawkins ◽

...

Keyword(s):

Remote Sensing ◽

Sensing Applications ◽

Remote Sensing Applications

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Background data collection suite for atmospheric remote sensing applications

10.1117/12.665486 ◽

2006 ◽

Cited By ~ 1

Author(s):

A. K. Lazarevich ◽

D. A. Oursler ◽

K. C. Baldwin

Keyword(s):

Remote Sensing ◽

Data Collection ◽

Sensing Applications ◽

Atmospheric Remote Sensing ◽

Background Data ◽

Remote Sensing Applications

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